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- Tasks: Lead exciting computer vision projects to detect vehicle damage using AI.
- Company: Innovative tech firm at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real-world impact by enhancing operational efficiency in the transport industry.
- Qualifications: Strong machine learning experience, especially in object detection, and Python proficiency.
- Other info: Join a dynamic team passionate about solving real-world challenges.
The predicted salary is between 36000 - 60000 £ per year.
A technology firm specializing in AI is seeking a Machine Learning Engineer to take ownership of computer vision projects focused on detecting damage on large commercial vehicles. You will design and train models using real-world data, improve model accuracy, and collaborate closely with data and engineering teams.
Ideal candidates will have strong experience in machine learning, particularly in object detection, be proficient in Python, and have a passion for solving real-world challenges. This role offers visibility and impact on operational efficiency.
CV ML Engineer – Vehicle Damage Detection (Production) employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CV ML Engineer – Vehicle Damage Detection (Production)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion for computer vision.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your experience with object detection and model training. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding the latest trends in machine learning. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI field. Your dream job could be just a click away!
We think you need these skills to ace CV ML Engineer – Vehicle Damage Detection (Production)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and object detection. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our vehicle damage detection projects. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone proficient in Python, make sure to mention any relevant programming experience. If you've worked with computer vision or trained models before, give us the details – we love specifics!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Fruition Group
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around object detection. Be ready to discuss your previous projects and how you've applied your skills in Python to solve real-world problems.
✨Showcase Your Projects
Prepare to talk about specific computer vision projects you've worked on. Highlight the challenges you faced, the solutions you implemented, and the impact your work had on operational efficiency.
✨Collaborate Like a Pro
Since this role involves working closely with data and engineering teams, be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you communicated complex ideas to non-technical team members.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s current projects or future goals in AI and vehicle damage detection. This shows your genuine interest and helps you gauge if it’s the right fit for you.
